Nan Cheng

P4NIS: Improving network immunity against eavesdropping with programmable data planes

2020

Due to improving computational capacity of supercomputers, transmitting encrypted packets via one single network path is vulnerable to brute-force attacks. The versatile attackers secretly eavesdrop all the packets, classify packets into different streams, performs an …

Joint Resource Allocation and User Scheduling Scheme for Federated Learning

2021 · 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

This paper investigates the impact of communication factors on the convergence performance of federated learning (FL) in wireless networks. Considering the limited communication resources in wireless networks, it is difficult to schedule all users to …

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity

2023 · IEEE Transactions on Mobile Computing

Federated learning (FL) has gained increasing attention due to its ability to collaboratively train while protecting client data privacy. However, vanilla FL cannot adapt to client heterogeneity, leading to a degradation in training efficiency due …

Scientific AI systems require domain-aware robustness validation

2026 · Cell Reports Physical Science

AI has become an essential tool in many areas of scientific discovery. However, its robustness, particularly in high-stakes scientific applications, remains insufficiently understood. While adversarial vulnerabilities have been widely studied in image recognition, their implications …